Overly generalized predictions are a serious problem in concept classification. In particular, the boundaries among classes are not always clearly defined. For example, there are usually uncertainties in diagnoses based on data from biochemical laboratory examinations. To avoid such problems, the idea of fuzzy classification is proposed. This paper presents the basic definition of fuzzy classification trees along with their construction algorithm. Instead of determining a single class for any given instance, fuzzy classification predicts the degree of possibility for every class.
|主出版物標題||Proceedings of the Joint Conference on Intelligent Systems/ISAI/IFIS|
|出版狀態||已發佈 - 1996|
|事件||Proceedings of the 1996 1st Joint Conference on Intelligent Systems/ISAI/IFIS - Cancun, Mex|
持續時間: 十一月 12 1996 → 十一月 15 1996
|其他||Proceedings of the 1996 1st Joint Conference on Intelligent Systems/ISAI/IFIS|
|期間||11/12/96 → 11/15/96|
ASJC Scopus subject areas